Autonomous vehicles can combine their own data with that of other vehicles to enhance their perceptive ability, and thus improve detection accuracy and driving safety. Data sharing among autonomous vehicles, however, is a challenging problem due to the sheer volume of data generated by various types of sensors on the vehicles. In this paper, we propose a low-latency, high-level (L3) data sharing protocol for connected and autonomous vehicular networks. Based on the L3 protocol, sensing results generated by individual vehicles will be broadcasted simultaneously within a limited sensing zone. The L3 protocol reduces the networking latency by taking advantage of the capture effect of the wireless transmissions occurred among vehicles. With the proposed design principles, we implement and test the L3 protocol in a simulated environment. Simulation results demonstrate that the L3 protocol is able to achieve reliable and fast data sharing among autonomous vehicles.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Low-Latency High-Level Data Sharing for Connected and Autonomous Vehicular Networks


    Contributors:
    Chen, Qi (author) / Tang, Shihai (author) / Hochstetler, Jacob (author) / Guo, Jingda (author) / Li, Yuan (author) / Xiong, Jinbo (author) / Yang, Qing (author) / Fu, Song (author)


    Publication date :

    2019-11-01


    Size :

    1161173 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Low-Latency Perception Sharing Services for Connected Autonomous Vehicles

    Chen, Fahao / Li, Peng / Zhong, Lei et al. | IEEE | 2023




    User Centric Low Latency Data Transmission in Ultra Dense Vehicular Networks

    Teng, Wei-Tsang / Huang, Chin-Ya / Shen, Shan-Hsiang et al. | IEEE | 2019


    Investigating the Latency Dynamics in Vehicular Platooning Networks

    Papadakis, Athanasios / Mamatas, Lefteris / Petridou, Sophia | IEEE | 2024